Tugba Taskaya-Temizel

Orcid: 0000-0001-7387-8621

According to our database1, Tugba Taskaya-Temizel authored at least 40 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
An intervention framework for developing interactive video lectures based on video clickstream behavior: a quasi-experimental evaluation.
Interact. Learn. Environ., December, 2023

The use of video clickstream data to predict university students' test performance: A comprehensive educational data mining approach.
Educ. Inf. Technol., May, 2023

PToPI: A Comprehensive Review, Analysis, and Knowledge Representation of Binary Classification Performance Measures/Metrics.
SN Comput. Sci., 2023

A Fact Extraction and Verification Framework for Social Media Posts on Covid-19.
Proceedings of the 3rd Workshop on Reducing Online Misinformation through Credible Information Retrieval 2023 co-located with The 45th European Conference on Information Retrieval (ECIR 2023), 2023

2022
A Machine Learning Ensembling Approach to Predicting Transfer Values.
SN Comput. Sci., 2022

Quality assessment of web-based information on type 2 diabetes.
Online Inf. Rev., 2022

2021
BenchMetrics: a systematic benchmarking method for binary classification performance metrics.
Neural Comput. Appl., 2021

Designing Robust Models for Behaviour Prediction Using Sparse Data from Mobile Sensing: A Case Study of Office Workers' Availability for Well-being Interventions.
ACM Trans. Comput. Heal., 2021

A Dimension Reduction Approach to Player Rankings in European Football.
IEEE Access, 2021

2020
A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the Design of an Effective Mobile Notification System.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

2019
CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019


The Use of Big Mobile Data to Gain Multilayered Insights for Syrian Refugee Crisis.
Proceedings of the Guide to Mobile Data Analytics in Refugee Scenarios, 2019

2018
The Impact of Motivation and Personality on Academic Performance in Online and Blended Learning Environments.
J. Educ. Technol. Soc., 2018

The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples.
CoRR, 2018

2017
A Non-Parametric Algorithm for Discovering Triggering Patterns of Spatio-Temporal Event Types.
IEEE Trans. Knowl. Data Eng., 2017

What installed mobile applications tell about their owners and how they affect users' download behavior.
Telematics Informatics, 2017

Exploring Behavior Change Features for Mobile Workout Applications.
Proceedings of the Mobile Web and Intelligent Information Systems, 2017

2016
Real-time multi-camera video analytics system on GPU.
J. Real Time Image Process., 2016

Density aware anomaly detection in crowded scenes.
IET Comput. Vis., 2016

UBDroid: Kullanici Davranis Analizi icin Akilli Telefon Uygulamalari Kullanim Izleme Araci.
Proceedings of the 10th Turkish National Software Engineering Symposium, 2016

Impact of Individual Differences on the Use of Mobile Phones and Applications.
Proceedings of the Mobile Web and Intelligent Information Systems, 2016

2015
A Bayesian Estimation Framework for Pharmacogenomics Driven Warfarin Dosing: A Comparative Study.
IEEE J. Biomed. Health Informatics, 2015

A Study on User Perception of Mobile Commerce for Android and iOS Device Users.
Proceedings of the Mobile Web and Intelligent Information Systems, 2015

2014
Automatic information timeliness assessment of diabetes web sites by evidence based medicine.
Comput. Methods Programs Biomed., 2014

Clustering of local behaviour in crowd videos.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Density estimation in crowd videos.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

An Exploratory Study on the Outcomes of Influence Strategies in Mobile Application Recommendations.
Proceedings of the Second International Workshop on Behavior Change Support Systems co-located with the 9th International Conference on Persuasive Technology (PERSUASIVE 2014), 2014

A SOAp-based social traffic network system for smart phone users.
Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

Local anomaly detection in crowded scenes using Finite-Time Lyapunov Exponent based clustering.
Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

Pedestrian zone anomaly detection by non-parametric temporal modelling.
Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

2013
Feature detection and tracking for extraction of crowd dynamics.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

An unsupervised method for anomaly detection from crowd videos.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Real-time global anomaly detection for crowd video surveillance using SIFT.
Proceedings of the 5th International Conference on Imaging for Crime Detection and Prevention, 2013

2011
A Hadoop solution for ballistic image analysis and recognition.
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011

2006
Configuration of neural networks to model seasonal and cyclic time series.
PhD thesis, 2006

2005
A comparative study of autoregressive neural network hybrids.
Neural Networks, 2005

Configuration of Neural Networks for the Analysis of Seasonal Time Series.
Proceedings of the Pattern Recognition and Data Mining, 2005

2004
Summarizing Time Series: Learning Patterns in 'Volatile' Series.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004


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